Domain specific: Wrong answer
Domain specific
Wrong answer
See which AI models are most likely to hit Wrong answer on Domain specific, so you can spot weak points faster. Sort by: Total Cost ↓.
Failure Reasons
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| Rank | Model | Company | Wrong answer Count | Category Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #194 | Claude Sonnet 5.5 low | Anthropic | 1 | 0.3 | $0.909 | 0/3 | 8.09s |
| #1 | Gemini 3.6 Flash high | 1 | 0.8 | $0.900 | 2/3 | 33.3s | |
| #71 | Muse Spark 1.1 low | Meta | 2 | 0.4 | $0.885 | 0/3 | 33.0s |
| #64 | Muse Spark 1.2 low | Meta | 2 | 0.5 | $0.881 | 1/3 | 28.5s |
| #103 | Seed-2.0-Code low | Bytedance Seed | 3 | 0.4 | $0.881 | 0/3 | 238.4s |
| #15 | Gemini 3 Flash Preview medium | 1 | 0.8 | $0.876 | 2/3 | 20.1s | |
| #267 | Trinity Large Thinking medium | Arcee AI | 2 | 0.5 | $0.862 | 1/3 | 124.2s |
| #237 | Kimi K2.5 medium | Moonshot AI | 2 | 0.3 | $0.841 | 0/3 | 111.6s |
| #223 | Qwen3.6 35B A3B medium | Qwen | 3 | 0.3 | $0.834 | 0/3 | 25.4s |
| #234 | Beam 1.0 501B A23B max | Reflection | 3 | 0.3 | $0.799 | 0/3 | 31.9s |
| #211 | GPT-5.6 Sol none | OpenAI | 2 | 0.6 | $0.795 | 1/3 | 1.44s |
| #292 | Trinity Large Thinking high | Arcee AI | 3 | 0.3 | $0.794 | 0/3 | 66.9s |
| #320 | Ember-1 none | Fireworks | 2 | 0.5 | $0.786 | 1/3 | 21.6s |
| #149 | Qwen3.6 Flash medium | Qwen | 3 | 0.3 | $0.783 | 0/3 | 17.0s |
| #187 | Grok 4.6 low | X AI | 3 | 0.3 | $0.781 | 0/3 | 18.2s |